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Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition) - Tapa dura
- EditorialSpringer
- Año de publicación2021
- ISBN 10 3030746968
- ISBN 13 9783030746964
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas416
- EditorRatha Nalini K, Patel Vishal M., Chellappa Rama
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Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition)
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Deep Learning-Based Face Analytics
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Springer International Publishing, 2021
ISBN 10: 3030746968
ISBN 13: 9783030746964
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is First compiled source on deep learning applied to face image and video analyticsReflects on Bias in face analytic algorithms using AI methodsExplores on Deepfake attacks in face recognitionCompares Face recognition by humans and m. Nº de ref. del artículo: 458554152
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Deep Learning-Based Face Analytics
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Springer International Publishing Aug 2021, 2021
ISBN 10: 3030746968
ISBN 13: 9783030746964
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition.This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra. 416 pp. Englisch. Nº de ref. del artículo: 9783030746964
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Deep Learning-Based Face Analytics
Publicado por
Springer International Publishing, 2021
ISBN 10: 3030746968
ISBN 13: 9783030746964
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition.This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra. Nº de ref. del artículo: 9783030746964
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Deep Learning-Based Face Analytics
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 413 pages. 9.25x6.10x1.02 inches. In Stock. Nº de ref. del artículo: x-3030746968
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